Svensson, Stina
- Centre for Image Analysis, Swedish University of Agricultural Sciences
Abstract
We extend the concept of the reverse distance transform for binary images to a fuzzy framework, leading to the reversefuzzy distance transform. Furthermore, we introduce centres of maximal fuzzy balls intended for, e.g. fuzzy distance based skeletonization of a fuzzy object. Finally, we propose to use the reverse fuzzy distance transform as an alternative region growing process to the seeded watershed segmentation, in order to further emphasize the shape of fuzzy objects. We make a comparison using an application where the aim is to identify the cytoplasms in fluorescence microscopy images of cells. (C) 2008 Elsevier B.V. All rights reserved.
Keywords
fuzzy distance; region growing; watershed segmentation
Published in
Pattern Recognition Letters
2008, volume: 29, number: 7, pages: 888-896
Publisher: ELSEVIER SCIENCE BV
SLU Authors
UKÄ Subject classification
Computer Science
Publication identifier
- DOI: https://doi.org/10.1016/j.patrec.2008.01.006
Permanent link to this page (URI)
https://res.slu.se/id/publ/21279